101 to 125 of 899 AWS Jobs in the City of London

SQL queries and manage databases including PostgreSQL . Integrate and automate workflows using DevOps tools (e.g., CI/CD, Jenkins, Git ). Collaborate on cloud-based data initiatives using AWS (S3) and Azure Databricks . Contribute to Agile/Scrum development processes and ensure timely delivery of project milestones. Work closely with cross-functional teams across multiple locations and time More ❯

to architectural decisions and technical direction You’ll bring: 5+ years of experience building and shipping software Strong fundamentals in software design, APIs, and databases Familiarity with cloud platforms (AWS, GCP, or Azure) An agile mindset and a genuine interest in building great products Experience in FinTech, SaaS, or other data-heavy systems is a plus What’s on offer More ❯

team solving real-world productivity challenges. Key Skills Python API integrations SQL Data modeling Sharepoint Webhooks AI-assisted development (Cursor, LLMs, guardrails) CI/CD, Docker, cloud exposure (Azure, AWS, GCP) Benefits 25 days annual leave + public holidays 7.5% matched pension scheme Private healthcare (includes family cover & pre-existing conditions) Flexible hybrid working (2 days per fortnight in London More ❯

or similar modern backend language) and experience building RESTful APIs or microservices. Solid understanding of data structures, algorithms, and software design principles. Experience with cloud-based infrastructure (Google Cloud, AWS, or Azure) Passion for building customer-centric products and working collaboratively to solve complex technical challenges. We are an equal opportunities employer and welcome applications from all suitably qualified persons More ❯

to work with non-technical and technical stakeholders. Comfortable leading Engineers in the following stack: • Typescript/Next.js • Java 11 - 17 • PostgreSQL/Kafka • Cucumber/Cypress/Playwright • AWS/Kubernetes/Terraform Benefits: • 20% bonus • Life assurance • Pension scheme • 25 days annual leave (extra buy-in scheme) + bank holidays • Cycle to work scheme • Flexible/Hybrid working More ❯

modern development practices — Git workflows, automated testing, CI/CD pipelines Excellent communication skills and the ability to lead and collaborate in a fully remote team environment Experience with AWS, Docker, or Kubernetes Background in fintech, SaaS, or payment systems If this sounds like the right fit, please send your CV to Tommy@venchr.co.uk Venchr is an equal-opportunity employer. More ❯

regulatory contexts when designing and delivering functionality Tech Stack The engineering team leverages a modern and scalable technology stack: Backend: Python (FastAPI), Node.js Frontend: React, TypeScript Database: PostgreSQL Infrastructure: AWS, Docker, Terraform CI/CD: GitHub Actions, Pulumi Monitoring & Observability: DataDog, Sentry Data & Analytics: dbt, Metabase Internal Tools: Retool Collaboration: Linear, Slack, Notion Candidates are not expected to have experience More ❯

and mentoring. Maintain a user-centred mindset , constantly measuring and iterating on how engineering decisions translate into product value. Technical Environment: Languages & Frameworks : Python, TypeScript, React, Svelte Infrastructure & Tools : AWS, PostgreSQL, Snowflake, CI/CD pipelines Ways of Working : Agile squads, continuous delivery, outcome-oriented culture You’ll work in a collaborative, engineering-led environment where autonomy, accountability, and thoughtful More ❯

of tick, timeseries, reference and alternative datasets. The technology stack spans both On-Premise and Cloud Infrastructure with technologies and tooling such as Python, DBT, Snowflake KDB+, Snowflake and AWS, This is an exciting time for you to join the team they modernise their technology estate, revamp how they process and filter data, and overhaul the way data is accessed More ❯

/JAX framework. Customer facing: Experience working directly with customers to solve applied problems, including product integration. Cloud-native technologies: Experience in developing and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker). Algorithms and data structures: Excellent understanding of core CS fundamentals, including common abstract data structures and algorithms with the ability More ❯

clustering, and practical experience with models used in econometrics or marketing measurement. Experience with agile development methodologies, such as Scrum or Kanban. Preferred Qualifications Experience with cloud platforms (e.g., AWS, Azure, GCP) and containerization technologies (e.g., Docker, Kubernetes). Familiarity with DevOps practices and tools for continuous integration and deployment. Solid understanding of system design principles, scalability, and performance optimization. More ❯

eg. Kafka/Pulsar, RabbitMQ, MQTT, or similar) Experience with container orchestration and service containerisation (Kubernetes, Docker) Built and deployed services on any major cloud providers' services (Azure, GCP, AWS) Worked with AI development tools (eg. Bolt, Lovable, Cursor) to speed up iteration & prototyping Nice to Have: Worked with real-time data collection and/or processing Worked in an More ❯

Familiarity with DevOps, CI/CD, and automation tools. Strong communication skills and ability to work with technical and non-technical teams. Nice to have: Cloud computing experience (Azure, AWS, or GCP). Knowledge of AQR Reporting (ECB). Exposure to Agile delivery environments. Understanding of enterprise architecture standards. Apply now or email Barry.Ansell@HarringtonStarr.com for a faster review. More ❯

ITOM, ITAM, HR, CSM, SPM, HAM/SAM). Strong scripting and integration skills - JavaScript, SQL, API/Web Services . Experience integrating ServiceNow with cloud platforms such as AWS, Azure, or GCP. Proven ability to operate as a Technical Design Authority and influence key stakeholders. Desirable Skills Experience with cloud migration projects. Exposure to GenAI or AI-powered ServiceNow More ❯

Open-source projects focusing on AI agents What They’re Looking For: Strong software engineering background, ideally writing Golang Solid experience with Kubernetes Experience in cloud environments - GCP preferred, AWS/Azure acceptable A collaborative engineer who can mentor others and contribute to team direction If you're interested in building platform tools with real impact, in a stable and More ❯

and engineers Explore new tools to boost ML performance and reliability What are we looking for? Solid MLOps or ML Engineering experience Strong Python & SQL skills Hands-on with AWS, Azure, Terraform Great communication & problem-solving skills Bonus: Familiarity with finance or data viz tools (Power BI/Tableau, Excel More ❯

AI frameworks (e.g., AutoGen, CrewAI, LangGraph). Proficiency in MLOps/LLMOps tools (MLflow, Kubeflow, Docker, Kubernetes). Strong working knowledge and practical deployment experience on major cloud platforms (AWS, Azure, GCP), including their AI/ML services. Strong foundation in software engineering principles for building scalable, maintainable, and production-ready AI systems. Experience in designing and implementing enterprise-grade More ❯

for production systems Proven experience deploying models in real-world environments (API, batch, streaming) Familiarity with MLOps best practices and containerised deployments (Docker, Kubernetes) Experience working in cloud environments (AWS preferred; Terraform a bonus) Strong communication skills and interest in the latest ML/AI developments Comfortable in collaborative, cross-functional teams with fast iteration cycles If this role interests More ❯

world systems and reason about scale, latency, and trade-offs Comfortable building from zero — greenfield work doesn’t scare you; in fact, you prefer it Experienced with cloud infrastructure — AWS, GCP, or similar; IaC (Terraform, Pulumi, etc.) is a plus Competent with databases and data modeling — SQL and NoSQL, designing schema for scale Comfortable writing tests and deploying production systems More ❯

with SQL best practices, ELT patterns, and modern data transformation frameworks such as dbt Competence in at least one programming language (Python preferred) for automation. Experience with cloud platforms (AWS, Azure, or GCP), including security, IAM, and storage services Experience deploying and maintaining production pipelines using tools such as Airflow or Dagster Understanding of CI/CD principles, version control More ❯

internal platform or developer-focused products. Deep understanding of cloud computing, infrastructure-as-code, DevOps tooling , and data/AI platforms. Hands-on experience with one or more of: AWS, Azure, GCP, Kubernetes, Terraform, Databricks, or Vertex AI . Proven ability to collaborate with engineering and research teams to align platform capabilities with end-user needs. Skilled in stakeholder management More ❯

platform is also increasingly AI-powered, so familiarity with implementing AI solutions (RAG etc) is an advantage. You’ll be working on a project where everything is hosted in AWS and we have a lightweight automated deployment process. You’ll work alongside a very small team, meaning you’ll have loads of responsibility and will make a huge impact on More ❯

/AdTech ecosystems. Hands-on exposure with at least two major MarTech products (Adobe AEP/AEM, Braze, SFMC, Tealium, Segment, or mParticle). Deep understanding of cloud platforms (AWS/GCP/Azure), streaming technologies (Kafka, Pub/Sub), and data warehouses (Snowflake, BigQuery). Proficiency in SQL, a scripting language (Python/Node.js), and familiarity with infrastructure-as More ❯

at scale What we’re seeking: 8+ years of experience as a full-stack engineer, building and maintaining complex web applications Experience touching across React, TypeScript, Node.js, Python and AWS Strong track record of contributing to technical architecture and designing scalable systems Operate with a strong sense of urgency, always aligning efforts with what matters most to the business Product More ❯

Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine). Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up More ❯